19 Aug
|
Shreem Talent Bridge
|
India
19 Aug
Shreem Talent Bridge
India
Detailed Job Description
Seeking a skilled Data Engineer proficient in SQL, Python, and Spark, AI to design and optimize scalable data solutions within the Palantir Foundry workplace.
Must-Have Skills
- Strong knowledge of SQL, Python, AI, Spark, and Hadoop.
- Experience with Python, Spark, and TypeScript for data processing and application development.
- Optimize performance of data transformations and analytical queries.
- Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions with offshore team.
- Familiarity with designing and implementing scalable data pipelines and workflows using Palantir Foundry.
- Working knowledge of Palantir modules such as Contour, Quiver, Vertex, and app development.
- Develop and maintain data models, ontology layers, and operational dashboards.
- Ensure data quality, integrity, and governance across all Palantir-based solutions.
- Stay updated with Palantir platform updates and best practices.
Desired Skills
- Workshop – Level 4
- Quiver – Level 4
- AIP – Level 3
- Pipeline Builder – Level 3
- Code Repository – Level 3
- PySpark – Level 3
- Ontology – Level 3
Roles and Responsibilities
- Design, develop, and optimize scalable data pipelines and workflows.
- Collaborate with stakeholders to gather and analyze business requirements.
- Translate business needs into technical data solutions leveraging Palantir Foundry.
- Maintain and enhance data models, ontology layers, and dashboards to support analytics.
- Monitor and improve data quality, integrity, and governance standards.
- Utilize modules like Contour, Quiver, and Vertex for application development.
- Participate in code repository management and pipeline building activities.
- Continuously update skills and knowledge on Palantir platform features and best practices
Pay: ₹2,000,000.00 - ₹3,100,000.00 per year
Work Location: In person
📌 Senior Data Engineer (India)
🏢 Shreem Talent Bridge
📍 India